• Journal of Advanced Navigation Technology
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• v.14 no.1
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• pp.108-118
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• 2010

In this paper, we propose Context-based Music Recommendation (COMUS) ontology for modeling user's musical preferences and context and for supporting reasoning about the user's desired emotion and preferences. The COMUS provides an upper Music Ontology that captures concepts about the general properties of music such as title, artists and genre and also provides extensibility for adding domain-specific ontologies, such as Mood and Situation, in a hierarchical manner. The COMUS is music dedicated ontology in OWL constructed by incorporating domain specific classes for music recommendation into the Music Ontology. Using this context ontology, we believe that the use of logical reasoning by checking the consistency of context information, and reasoning over the high-level, implicit context from the low-level, explicit information. As a novelty, our ontology can express detailed and complicated relations among the music, moods and situations, enabling users to find appropriate music for the application. We present some of the experiments we performed as a case-study for music recommendation.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.283-291
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• 2007

In the age of ubiquitous computing, computer systems will be seamlessly integrated into our everyday life, providing services and information to us in an anywhere, anytime fashion. This ubiquitous computing can be used for developing a ubiquitous learning (U-learning). In this paper, we present a framework for U-school in which ubiquitous computing technologies are applied to advance the existing ERSS (Korea's Educational Resources Sharing System). Our framework applies mobile, sensor, and context-aware technologies to the existing ERSS. This framework presents a user-centric learning environment, using user-centric scenario. The U-school with context-aware services therefore can lead to the just-in-time learning or learner-led learning based on dynamic contexts acquired from learners, teachers and computing entities.

• English Language & Literature Teaching
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• v.16 no.3
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• pp.365-395
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• 2010

This study explores the effect of extensive reading(ER) implemented in middle and high schools in Korean EFL context. Two middle school English teachers and two high school English teachers participated in implementing ER in their classes. Six middle school classes of 239 students and seven high school classes of 268 students participated in ER program guided by the above four teachers. To implement ER, participating teachers had continuously been guided by the researcher about the theoretic reasoning of ER and practical methods for efficient ER in class. The study lasted for two semesters and the teachers and students were surveyed and interviewed during and after the classes. The result showed pretty positive improvement of students' self-confidence, interest and motivation about English through ER implemented in this study. It is hoped that this study would show the possibility of implementing ER in Korean EFL secondary school context and a model for ER and cooperation between university researchers and in-service English teachers.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.178-179
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• 2004

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.119-136
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• 2004

ㆍuT ontologies can enable context awareness to represent more rich information. ㆍOntologies enable uT agents to reason about dynamic contexts. ㆍMulti agents can use ontologies to communicate between agents.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1072-1075
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• 2005

This paper presents that TD method is applied to the human adaptive devices for smart home with context awareness (or recognition) technique. For smart home, the very important problem is how the appliances (or devices) can adapt to user. Since there are many humans to manage home appliances (or devices), managing the appliances automatically is difficult. Moreover, making the users be satisfied by the automatically managed devices is much more difficult. In order to do so, we can use several methods, fuzzy controller, neural network, reinforcement learning, etc. Though the some methods could be used, in this case (in dynamic environment), reinforcement learning is appropriate. Among some reinforcement learning methods, we select the Temporal Difference learning method as a core algorithm for adapting the devices to user. Since this paper assumes the environment is a smart home, we simply explained about the context awareness. Also, we treated with the TD method briefly and implement an example by VC++. Thereafter, we dealt with how the devices can be applied to this problem.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.371-381
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• 2017

The performance of the statistical context-sensitive spelling error correction depends on the quality and quantity of the data for statistical language model. In general, the size and quality of data in a statistical language model are proportional. However, as the amount of data increases, the processing speed becomes slower and storage space also takes up a lot. We suggest the improved statistical language model to solve this problem. And we propose an effective spelling error candidate generation method based on a new statistical language model. The proposed statistical model and the correction method based on it improve the performance of the spelling error correction and processing speed.

• The Mathematical Education
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• v.49 no.3
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• pp.313-328
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• 2010

Mathematical modeling has been observed in the way of a possibility to contribute in improving students' problem solving abilities. One of the important views of real life problem context could be described such as a useful ways to interpret the real life leading to children's abstraction process. The problem contexts for the grade 6 with mathematical modeling perspectives were developed by reviewing the current 7th National Mathematics Curriculum of Korea. Those include the 5 content areas such as number & operation, geometry, measurement, probability & statistics, and pattern & problem solving. One of problem contexts, "Space", specially designed for pattern & problem solving area, was applied to the grade 6 students and analyzed in detail to understand student's mathematical modeling progress.

• Asia Marketing Journal
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• v.19 no.2
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• pp.45-61
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• 2017

Incidental envy is known to motivate self-improvement behavior. This phenomenon occurs in part because feelings of inferiority guide subsequent behavior in a way to self-improve, after experiencing envy. However, no research has yet examined whether this tendency may be affected by social context: private versus public. Although extant literature suggests that envy generally leads to self-improvement, we demonstrate that this effect may be mitigated under public social contexts. Across two studies, we find that although incidental envy generally increases self-improvement behavior (e.g., effort exertion and charitable giving) in private social contexts, this tendency is attenuated under public social contexts. We conclude with a discussion of theoretical and practical implications of this finding.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.21-44
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• 2008

Recently, feasible services in ubiquitous computing environment are commonly based on context -aware computing. With the concept of context-awareness we can imagine more effective way to measure human being's daily stress and provide anti-stress services. Our study introduces logical and methodological approach to manage the stress through the development of stress index. From the practical perspectives, we also designed a business model for u-SMC, which is a profitable organization specialized in providing stress measurement services and personalized anti-stress services by utilizing the stress index model.